Abstract:The influence of experience on decision-making is based mostly on outcome history but also on one’s own choice history. Reinforcement learning models can implement both processes. The influence of choice history, or perseveration, is a tendency to repeat one’s own decisions and is implemented as an explicit action autocorrelation term. However, this component is not always included in models. In the present study, we explored estimation biases caused by the lack of a perseveration term in the model on other pa… Show more
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